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Unverified Commit 5e181edd authored by Sayak Paul's avatar Sayak Paul Committed by GitHub
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Deprecate slicing and tiling methods from `DiffusionPipeline` (#12271) 

* deprecate slicing from flux pipeline.

* propagate.

* tiling

* up

* up
parent 55f0b3d7
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Showing with 438 additions and 28 deletions
src/diffusers/pipelines/ltx/pipeline_ltx_latent_upsample.py
View file @ 5e181edd
......@@ -18,7 +18,7 @@ import torch
from ...image_processor import PipelineImageInput
from ...models import AutoencoderKLLTXVideo
from ...utils import get_logger
from ...utils import deprecate, get_logger
from ...utils.torch_utils import randn_tensor
from ...video_processor import VideoProcessor
from ..pipeline_utils import DiffusionPipeline
......@@ -148,6 +148,12 @@ class LTXLatentUpsamplePipeline(DiffusionPipeline):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -155,6 +161,12 @@ class LTXLatentUpsamplePipeline(DiffusionPipeline):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -163,6 +175,12 @@ class LTXLatentUpsamplePipeline(DiffusionPipeline):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -170,6 +188,12 @@ class LTXLatentUpsamplePipeline(DiffusionPipeline):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def check_inputs(self, video, height, width, latents):
......
src/diffusers/pipelines/lumina2/pipeline_lumina2.py
View file @ 5e181edd
......@@ -433,6 +433,12 @@ class Lumina2Pipeline(DiffusionPipeline, Lumina2LoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -440,6 +446,12 @@ class Lumina2Pipeline(DiffusionPipeline, Lumina2LoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -448,6 +460,12 @@ class Lumina2Pipeline(DiffusionPipeline, Lumina2LoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -455,6 +473,12 @@ class Lumina2Pipeline(DiffusionPipeline, Lumina2LoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def prepare_latents(self, batch_size, num_channels_latents, height, width, dtype, device, generator, latents=None):
......
src/diffusers/pipelines/mochi/pipeline_mochi.py
View file @ 5e181edd
......@@ -23,11 +23,7 @@ from ...callbacks import MultiPipelineCallbacks, PipelineCallback
from ...loaders import Mochi1LoraLoaderMixin
from ...models import AutoencoderKLMochi, MochiTransformer3DModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import (
is_torch_xla_available,
logging,
replace_example_docstring,
)
from ...utils import deprecate, is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ...video_processor import VideoProcessor
from ..pipeline_utils import DiffusionPipeline
......@@ -396,6 +392,12 @@ class MochiPipeline(DiffusionPipeline, Mochi1LoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -403,6 +405,12 @@ class MochiPipeline(DiffusionPipeline, Mochi1LoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -411,6 +419,12 @@ class MochiPipeline(DiffusionPipeline, Mochi1LoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -418,6 +432,12 @@ class MochiPipeline(DiffusionPipeline, Mochi1LoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def prepare_latents(
......
src/diffusers/pipelines/omnigen/pipeline_omnigen.py
View file @ 5e181edd
......@@ -23,7 +23,7 @@ from ...image_processor import PipelineImageInput, VaeImageProcessor
from ...models.autoencoders import AutoencoderKL
from ...models.transformers import OmniGenTransformer2DModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import is_torch_xla_available, is_torchvision_available, logging, replace_example_docstring
from ...utils import deprecate, is_torch_xla_available, is_torchvision_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
......@@ -235,6 +235,12 @@ class OmniGenPipeline(
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -242,6 +248,12 @@ class OmniGenPipeline(
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -250,6 +262,12 @@ class OmniGenPipeline(
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -257,6 +275,12 @@ class OmniGenPipeline(
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
# Copied from diffusers.pipelines.stable_diffusion_3.pipeline_stable_diffusion_3.StableDiffusion3Pipeline.prepare_latents
......
src/diffusers/pipelines/pag/pipeline_pag_hunyuandit.py
View file @ 5e181edd
......@@ -28,11 +28,7 @@ from ...models.attention_processor import PAGCFGHunyuanAttnProcessor2_0, PAGHuny
from ...models.embeddings import get_2d_rotary_pos_embed
from ...pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
from ...schedulers import DDPMScheduler
from ...utils import (
is_torch_xla_available,
logging,
replace_example_docstring,
)
from ...utils import is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline
from .pag_utils import PAGMixin
......
src/diffusers/pipelines/pag/pipeline_pag_sana.py
View file @ 5e181edd
......@@ -29,6 +29,7 @@ from ...models.attention_processor import PAGCFGSanaLinearAttnProcessor2_0, PAGI
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import (
BACKENDS_MAPPING,
deprecate,
is_bs4_available,
is_ftfy_available,
is_torch_xla_available,
......@@ -190,6 +191,12 @@ class SanaPAGPipeline(DiffusionPipeline, PAGMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -197,6 +204,12 @@ class SanaPAGPipeline(DiffusionPipeline, PAGMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -205,6 +218,12 @@ class SanaPAGPipeline(DiffusionPipeline, PAGMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -212,6 +231,12 @@ class SanaPAGPipeline(DiffusionPipeline, PAGMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def encode_prompt(
......
src/diffusers/pipelines/pipeline_utils.py
View file @ 5e181edd
......@@ -57,6 +57,7 @@ from ..utils import (
PushToHubMixin,
_get_detailed_type,
_is_valid_type,
deprecate,
is_accelerate_available,
is_accelerate_version,
is_hpu_available,
......@@ -2201,6 +2202,12 @@ class StableDiffusionMixin:
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -2208,6 +2215,12 @@ class StableDiffusionMixin:
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -2216,6 +2229,12 @@ class StableDiffusionMixin:
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -2223,6 +2242,12 @@ class StableDiffusionMixin:
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def enable_freeu(self, s1: float, s2: float, b1: float, b2: float):
......
src/diffusers/pipelines/qwenimage/pipeline_qwenimage.py
View file @ 5e181edd
......@@ -23,7 +23,7 @@ from ...image_processor import VaeImageProcessor
from ...loaders import QwenImageLoraLoaderMixin
from ...models import AutoencoderKLQwenImage, QwenImageTransformer2DModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import is_torch_xla_available, logging, replace_example_docstring
from ...utils import deprecate, is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline
from .pipeline_output import QwenImagePipelineOutput
......@@ -348,6 +348,12 @@ class QwenImagePipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -355,6 +361,12 @@ class QwenImagePipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -363,6 +375,12 @@ class QwenImagePipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -370,6 +388,12 @@ class QwenImagePipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def prepare_latents(
......
src/diffusers/pipelines/qwenimage/pipeline_qwenimage_controlnet.py
View file @ 5e181edd
......@@ -24,7 +24,7 @@ from ...loaders import QwenImageLoraLoaderMixin
from ...models import AutoencoderKLQwenImage, QwenImageTransformer2DModel
from ...models.controlnets.controlnet_qwenimage import QwenImageControlNetModel, QwenImageMultiControlNetModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import is_torch_xla_available, logging, replace_example_docstring
from ...utils import deprecate, is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline
from .pipeline_output import QwenImagePipelineOutput
......@@ -412,6 +412,12 @@ class QwenImageControlNetPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -419,6 +425,12 @@ class QwenImageControlNetPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -427,6 +439,12 @@ class QwenImageControlNetPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -434,6 +452,12 @@ class QwenImageControlNetPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
# Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage.QwenImagePipeline.prepare_latents
......
src/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit.py
View file @ 5e181edd
......@@ -24,7 +24,7 @@ from ...image_processor import PipelineImageInput, VaeImageProcessor
from ...loaders import QwenImageLoraLoaderMixin
from ...models import AutoencoderKLQwenImage, QwenImageTransformer2DModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import is_torch_xla_available, logging, replace_example_docstring
from ...utils import deprecate, is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline
from .pipeline_output import QwenImagePipelineOutput
......@@ -421,6 +421,12 @@ class QwenImageEditPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -428,6 +434,12 @@ class QwenImageEditPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -436,6 +448,12 @@ class QwenImageEditPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -443,6 +461,12 @@ class QwenImageEditPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def prepare_latents(
......
src/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit_inpaint.py
View file @ 5e181edd
......@@ -25,7 +25,7 @@ from ...image_processor import PipelineImageInput, VaeImageProcessor
from ...loaders import QwenImageLoraLoaderMixin
from ...models import AutoencoderKLQwenImage, QwenImageTransformer2DModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import is_torch_xla_available, logging, replace_example_docstring
from ...utils import deprecate, is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline
from .pipeline_output import QwenImagePipelineOutput
......@@ -466,6 +466,12 @@ class QwenImageEditInpaintPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -473,6 +479,12 @@ class QwenImageEditInpaintPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -481,6 +493,12 @@ class QwenImageEditInpaintPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -488,6 +506,12 @@ class QwenImageEditInpaintPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
# Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_inpaint.QwenImageInpaintPipeline.prepare_latents
......
src/diffusers/pipelines/qwenimage/pipeline_qwenimage_img2img.py
View file @ 5e181edd
......@@ -9,7 +9,7 @@ from ...image_processor import PipelineImageInput, VaeImageProcessor
from ...loaders import QwenImageLoraLoaderMixin
from ...models import AutoencoderKLQwenImage, QwenImageTransformer2DModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import is_torch_xla_available, logging, replace_example_docstring
from ...utils import deprecate, is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline
from .pipeline_output import QwenImagePipelineOutput
......@@ -397,6 +397,12 @@ class QwenImageImg2ImgPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -404,6 +410,12 @@ class QwenImageImg2ImgPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -412,6 +424,12 @@ class QwenImageImg2ImgPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -419,6 +437,12 @@ class QwenImageImg2ImgPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def prepare_latents(
......
src/diffusers/pipelines/qwenimage/pipeline_qwenimage_inpaint.py
View file @ 5e181edd
......@@ -10,7 +10,7 @@ from ...image_processor import PipelineImageInput, VaeImageProcessor
from ...loaders import QwenImageLoraLoaderMixin
from ...models import AutoencoderKLQwenImage, QwenImageTransformer2DModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import is_torch_xla_available, logging, replace_example_docstring
from ...utils import deprecate, is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline
from .pipeline_output import QwenImagePipelineOutput
......@@ -424,6 +424,12 @@ class QwenImageInpaintPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -431,6 +437,12 @@ class QwenImageInpaintPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -439,6 +451,12 @@ class QwenImageInpaintPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -446,6 +464,12 @@ class QwenImageInpaintPipeline(DiffusionPipeline, QwenImageLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def prepare_latents(
......
src/diffusers/pipelines/sana/pipeline_sana.py
View file @ 5e181edd
......@@ -30,6 +30,7 @@ from ...schedulers import DPMSolverMultistepScheduler
from ...utils import (
BACKENDS_MAPPING,
USE_PEFT_BACKEND,
deprecate,
is_bs4_available,
is_ftfy_available,
is_torch_xla_available,
......@@ -224,6 +225,12 @@ class SanaPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -231,6 +238,12 @@ class SanaPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -239,6 +252,12 @@ class SanaPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -246,6 +265,12 @@ class SanaPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
def _get_gemma_prompt_embeds(
......
src/diffusers/pipelines/sana/pipeline_sana_controlnet.py
View file @ 5e181edd
......@@ -30,6 +30,7 @@ from ...schedulers import DPMSolverMultistepScheduler
from ...utils import (
BACKENDS_MAPPING,
USE_PEFT_BACKEND,
deprecate,
is_bs4_available,
is_ftfy_available,
is_torch_xla_available,
......@@ -237,6 +238,12 @@ class SanaControlNetPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -244,6 +251,12 @@ class SanaControlNetPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -252,6 +265,12 @@ class SanaControlNetPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -259,6 +278,12 @@ class SanaControlNetPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
# Copied from diffusers.pipelines.sana.pipeline_sana.SanaPipeline._get_gemma_prompt_embeds
......
src/diffusers/pipelines/sana/pipeline_sana_sprint.py
View file @ 5e181edd
......@@ -30,6 +30,7 @@ from ...schedulers import DPMSolverMultistepScheduler
from ...utils import (
BACKENDS_MAPPING,
USE_PEFT_BACKEND,
deprecate,
is_bs4_available,
is_ftfy_available,
is_torch_xla_available,
......@@ -175,6 +176,12 @@ class SanaSprintPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
def disable_vae_slicing(self):
......@@ -182,6 +189,12 @@ class SanaSprintPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def enable_vae_tiling(self):
......@@ -190,6 +203,12 @@ class SanaSprintPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -197,6 +216,12 @@ class SanaSprintPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
# Copied from diffusers.pipelines.sana.pipeline_sana.SanaPipeline._get_gemma_prompt_embeds
......
src/diffusers/pipelines/sana/pipeline_sana_sprint_img2img.py
View file @ 5e181edd
......@@ -31,6 +31,7 @@ from ...schedulers import DPMSolverMultistepScheduler
from ...utils import (
BACKENDS_MAPPING,
USE_PEFT_BACKEND,
deprecate,
is_bs4_available,
is_ftfy_available,
is_torch_xla_available,
......@@ -183,6 +184,12 @@ class SanaSprintImg2ImgPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
# Copied from diffusers.pipelines.sana.pipeline_sana.SanaPipeline.disable_vae_slicing
......@@ -191,6 +198,12 @@ class SanaSprintImg2ImgPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
# Copied from diffusers.pipelines.sana.pipeline_sana.SanaPipeline.enable_vae_tiling
......@@ -200,6 +213,12 @@ class SanaSprintImg2ImgPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
def disable_vae_tiling(self):
......@@ -207,6 +226,12 @@ class SanaSprintImg2ImgPipeline(DiffusionPipeline, SanaLoraLoaderMixin):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
# Copied from diffusers.pipelines.sana.pipeline_sana.SanaPipeline._get_gemma_prompt_embeds
......
src/diffusers/pipelines/stable_audio/pipeline_stable_audio.py
View file @ 5e181edd
......@@ -25,11 +25,7 @@ from transformers import (
from ...models import AutoencoderOobleck, StableAudioDiTModel
from ...models.embeddings import get_1d_rotary_pos_embed
from ...schedulers import EDMDPMSolverMultistepScheduler
from ...utils import (
is_torch_xla_available,
logging,
replace_example_docstring,
)
from ...utils import deprecate, is_torch_xla_available, logging, replace_example_docstring
from ...utils.torch_utils import randn_tensor
from ..pipeline_utils import AudioPipelineOutput, DiffusionPipeline
from .modeling_stable_audio import StableAudioProjectionModel
......@@ -134,6 +130,12 @@ class StableAudioPipeline(DiffusionPipeline):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
# Copied from diffusers.pipelines.pipeline_utils.StableDiffusionMixin.disable_vae_slicing
......@@ -142,6 +144,12 @@ class StableAudioPipeline(DiffusionPipeline):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
def encode_prompt(
......
src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py
View file @ 5e181edd
......@@ -232,6 +232,12 @@ class UniDiffuserPipeline(DeprecatedPipelineMixin, DiffusionPipeline):
Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
"""
depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
deprecate(
"enable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.enable_slicing()
# Copied from diffusers.pipelines.pipeline_utils.StableDiffusionMixin.disable_vae_slicing
......@@ -240,6 +246,12 @@ class UniDiffuserPipeline(DeprecatedPipelineMixin, DiffusionPipeline):
Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
deprecate(
"disable_vae_slicing",
"0.40.0",
depr_message,
)
self.vae.disable_slicing()
# Copied from diffusers.pipelines.pipeline_utils.StableDiffusionMixin.enable_vae_tiling
......@@ -249,6 +261,12 @@ class UniDiffuserPipeline(DeprecatedPipelineMixin, DiffusionPipeline):
compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
processing larger images.
"""
depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
deprecate(
"enable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.enable_tiling()
# Copied from diffusers.pipelines.pipeline_utils.StableDiffusionMixin.disable_vae_tiling
......@@ -257,6 +275,12 @@ class UniDiffuserPipeline(DeprecatedPipelineMixin, DiffusionPipeline):
Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
computing decoding in one step.
"""
depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
deprecate(
"disable_vae_tiling",
"0.40.0",
depr_message,
)
self.vae.disable_tiling()
# Functions to manually set the mode
......
src/diffusers/pipelines/visualcloze/pipeline_visualcloze_combined.py
View file @ 5e181edd
......@@ -22,11 +22,7 @@ from ...loaders import FluxLoraLoaderMixin, FromSingleFileMixin, TextualInversio
from ...models.autoencoders import AutoencoderKL
from ...models.transformers import FluxTransformer2DModel
from ...schedulers import FlowMatchEulerDiscreteScheduler
from ...utils import (
is_torch_xla_available,
logging,
replace_example_docstring,
)
from ...utils import is_torch_xla_available, logging, replace_example_docstring
from ..flux.pipeline_flux_fill import FluxFillPipeline as VisualClozeUpsamplingPipeline
from ..flux.pipeline_output import FluxPipelineOutput
from ..pipeline_utils import DiffusionPipeline
......
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